Instructions to use sayakpaul/flux-lora-resizing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sayakpaul/flux-lora-resizing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sayakpaul/flux-lora-resizing", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- upsampled_lora/0_collage.png +0 -0
- upsampled_lora/0_non_upsampled.png +0 -0
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- upsampled_lora/2_collage.png +0 -0
- upsampled_lora/2_non_upsampled.png +0 -0
- upsampled_lora/2_upsampled.png +0 -0
- upsampled_lora/3_collage.png +3 -0
- upsampled_lora/3_non_upsampled.png +0 -0
- upsampled_lora/3_upsampled.png +0 -0
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